如何将openCV图像传输到ffmpeg(将ffmpeg作为子进程运行)? (我正在使用spyder / anaconda)
我正在从视频文件中读取帧并在每个帧上进行一些处理。
import cv2
cap = cv2.VideoCapture(self.avi_path)
img = cap.read()
gray = cv2.cvtColor(img[1], cv2.COLOR_BGR2GRAY)
bgDiv=gray/vidMed #background division
然后,为了将处理过的帧传递给ffmpeg,我在一个相关的问题中找到了这个命令:
sys.stdout.write( bgDiv.tostring() )
接下来,我试图将ffmpeg作为子进程运行:
cmd='ffmpeg.exe -f rawvideo -pix_fmt gray -s 2048x2048 -r 30 -i - -an -f avi -r 30 foo.avi'
sp.call(cmd,shell=True)
(这也来自上述帖子) 但是,这会使我的IPython控制台充满神秘的象形文字然后崩溃。有什么建议吗?
最终,我想输出4个流并让ffmpeg并行编码这4个流。
答案 0 :(得分:9)
我曾遇到过类似的问题。 I opened an issue on Github,事实证明可能是一个平台问题。
与您的问题相关,您也可以将OpenCV图像传输到FFMPEG。这是一个示例代码:
# This script copies the video frame by frame
import cv2
import subprocess as sp
input_file = 'input_file_name.mp4'
output_file = 'output_file_name.mp4'
cap = cv2.VideoCapture(input_file)
ret, frame = cap.read()
height, width, ch = frame.shape
ffmpeg = 'FFMPEG'
dimension = '{}x{}'.format(width, height)
f_format = 'bgr24' # remember OpenCV uses bgr format
fps = str(cap.get(cv2.CAP_PROP_FPS))
command = [ffmpeg,
'-y',
'-f', 'rawvideo',
'-vcodec','rawvideo',
'-s', dimension,
'-pix_fmt', 'bgr24',
'-r', fps,
'-i', '-',
'-an',
'-vcodec', 'mpeg4',
'-b:v', '5000k',
output_file ]
proc = sp.Popen(command, stdin=sp.PIPE, stderr=sp.PIPE)
while True:
ret, frame = cap.read()
if not ret:
break
proc.stdin.write(frame.tostring())
cap.release()
proc.stdin.close()
proc.stderr.close()
proc.wait()
答案 1 :(得分:0)
最近,您可以使用我强大的VidGear python库,该库仅使用其URL地址自动通过管道传输YouTube视频。这是一个示例:
# import libraries
from vidgear.gears import CamGear
import cv2
stream = CamGear(source='https://youtu.be/dQw4w9WgXcQ', y_tube =True, time_delay=1, logging=True).start() # YouTube Video URL as input
# infinite loop
while True:
frame = stream.read()
# read frames
# check if frame is None
if frame is None:
#if True break the infinite loop
break
# do something with frame here
cv2.imshow("Output Frame", frame)
# Show output window
key = cv2.waitKey(1) & 0xFF
# check for 'q' key-press
if key == ord("q"):
#if 'q' key-pressed break out
break
cv2.destroyAllWindows()
# close output window
stream.stop()
# safely close video stream.